2024
Classification Diffusion Models: Revitalizing Density Ratio Estimation
NeurIPS 2024poster
A prominent family of methods for learning data distributions relies on density ratio estimation (DRE), where a model is trained to *classify* between data samples and samples from some reference distribution. DRE-based models can directly output the likelihood for any given input, a highly desired…